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ClassDiscovery

Classes and Methods for "Class Discovery" with Microarrays or Proteomics

Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.

Functions (14)

cd01-0-distanceMatrix

Distance Matrix Computation

cd02-0-plotColoredClusters

Plot Dendrograms with Color-Coded Labels

cd02-1-cluster3

Cluster a Dataset Three Ways

cd03-0-ClusterTest-class

Class "ClusterTest"

cd03-1-BootstrapClusterTest-class

Class "BootstrapClusterTest"

cd03-2-hclust-class

Class "hclust"

cd03-3-justClusters

Get the List of Classes From A Clustering Algorithm

cd04-0-PerturbationClusterTest-class

The PerturbationClusterTest Class

cd05-0-SamplePCA-class

Class "SamplePCA"

cd05-1-GenePCA-class

Class "GenePCA"

cd06-0-aspectHeatmap

Heatmap with control over the aspect ratio

cd07-0-Mosaic-class

Class "Mosaic"

cd08-0-PCanova-class

Class "PCanova"

cd10-0-maha

Using Mahalanobis Distance and PCA for Quality Control

ClassDiscovery

Classes and Methods for "Class Discovery" with Microarrays or Proteomics

v3.3.13

Apache License (== 2.0)

Authors

Kevin R. Coombes

Initial release

2020-11-10

ClassDiscovery

Functions (14)

ClassDiscovery

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